Senior Full Stack Developer (Data Engineering)
Agile Tech Labs
United States
7 days ago
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Apply on www.dice.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Airflow
Amazon Web Services
HTML5
Automation of Tests
Microsoft Azure
BigQuery
Cascading Style Sheets (CSS)
Code Review
Continuous Integration
Information Engineering
Data Warehousing
+26 more
Database Queries
Django Web Framework
Python (Programming Language)
Performance Tuning
Next.js
TypeScript
Data Processing
Google Cloud
ReactJS
Flask (Web Framework)
Snowflake
Generative AI
Git
Fastapi
Kubernetes
Information Technology
Apache Kafka
Machine Learning Operations
Api Design
Restful APIs
Terraform
Es2015
Data Pipelines
Docker
Amazon Redshift
Databricks
Requirements
- 5+ years of experience with Python, including API development and data processing.
- Strong SQL skills, including complex queries, data modeling, and performance tuning.
- 2+ years of hands-on experience with dbt, including models, testing, and documentation.
- 3+ years of experience developing production applications using React.
- Strong knowledge of JavaScript (ES6+), HTML5, and CSS3.
- Experience building REST APIs using FastAPI, Flask, or Django.
- Experience designing and maintaining ELT pipelines and data warehouses.
- Hands-on experience with Git, code reviews, automated testing, and CI/CD.
- Experience with at least one cloud platform: AWS, Azure, or Google Cloud Platform.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- Strong communication skills and experience working directly with clients.
Preferred:
- TypeScript, Next.js, Airflow, Dagster, or Prefect.
- Experience with Snowflake, BigQuery, Redshift, or Databricks.
- Knowledge of Docker, Kubernetes, Terraform, or Kafka.
- Experience with BI tools, AI/ML pipelines, or LLM-based applications.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.dice.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Loading talks and stories from around this role…